摘要：Due to resistance developed by various agricultural pests towards Bacillus thuringiensis (BT) toxins, there is a necessity of developing alternative biopesticide. The TcaA toxin produced by Photorhabdus luminescens is a high molecular weight insecticidal toxin having toxicity against wide range of agricultural pests. Phylogenetic tree constructed for TcaA revealed that this toxin does not have any ancestral relationship with BT toxins. Present study focused on the modeling the TcaA toxin from Photorhabdus luminescens and aminopeptidase N receptor from Helicoverpa armigera using various computational approaches. Structural validation using various tools such as ProSA and PROCHECK revealed that and angles of these theoretical models were present in the core and allowed region. The theoretical toxin structure was subsequently docked onto the homology modeled aminopeptidase N receptor. Outcome of the docking study showed that first domain of TcaA had highest docking energy when compared to remaining domains.
